Just another Software-defined radio (SDR) project and page.
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Updated
Jun 29, 2024
Just another Software-defined radio (SDR) project and page.
Classifying Radio signal coming from space
The data we are going to use consists of 2D spectrograms of deep space radio signals collected by the Allen Telescope Array at the SETI Institute. We will treat the spectrograms as images to train an image classification model to classify the signals into one of four classes.
Real-Time FM Audio Denoising with UNet1D and RTL-SDR
Radio signal spectrogram classification with PyTorch, SpecAugment-based data augmentation, and a pretrained EfficientNet-B0 model for four-class signal recognition.
Arduino based morse code simultaneous sender and receiver
Arduino based morse code simultaneous sender and receiver Version 2
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